Philipp Burckhardt is a PhD Student in the joint Statistics & Public Policy program of the Department of Statistics and the Heinz College at Carnegie Mellon University. He hold a Master's degree in Applied Statistics from the University of Oxford and a Bachelor's degree in Economics from Humboldt-University. Some of his interests are the development of statistical methods for analyzing unstructured textual data, specifically from the health-care domain and to develop platform-independent and browser-enabled statistical tools, to aid decision-making and make it easier to turn insights into action. Recently, he has become a major contributor to the Node.js JavaScript ecosystem, having (co)-authored more than 200 npm packages in the areas of numerical computing, statistical tools and text mining, among others. For his dissertation, he is working on an e-learning platform for statistics education built on state-of-the-art web technologies. Together with Athan Reines, he is engaged in the development of a standard library for JavaScript called stdlib. He has spoken at various international conferences on topics ranging from political science, health-care informatics to machine learning and software engineering.
Philipp tweets at @burckhap, and his website can be found here.
Talks I've Given
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Workshop: The JavaScript Data Science Survival Kit - Intermediate
Featuring Philipp Burckhardt
The fields of machine learning and data science can appear intractable and overwhelming, often leaving newcomers at a loss for knowing where to begin. However, once you learn basic principles and workflows, you will see many opportunities where these techniques can help you in your projects. You...
statistics electron nodejs machine-learning visualisation science numeric-computing -
Monitoring and Analyzing User Behaviour - Intermediate
Featuring Philipp Burckhardt
In this talk, Philipp Burckhardt will demonstrate how the Heinz College at Carnegie Mellon University monitors user behavior in an e-learning environment. Built on Node.js, React and Electron, the ISLE (Interactive Statistics Learning Environment) project, which is built as a part of his PhD...
javascript fullstack fullstackcon react electron nodejs visualisation dashboard e-learning analytics data-science statistics machine-learning